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《Progress in Geophysics》 2011-05
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Review of magnetotelluric data inversion methods

CHEN Xiang-bin,LU Qing-tian,ZHANG Kun (Institute of Mineral Resources,Chinese Academy of Geological Sciences,Beijing 100037,China)  
Improving the accuracy of data interpretation for magnetotelluric sounding(MT) inversion method has always been an important subject of the magnetotelluric sounding field.In this paper,with the main line of the magnetotelluric inversion method developing history,the home and abroad major inversion method,such as bostick, simulating seismic,Occam,curve comparison,conjugate gradient,rapid relaxation,quasi-linear approximation, simulated annealing,multiscale genetic algorithm,conjugate gradient maximum likelihood,nonlinear conjugate gradient,bayesian,artificial neural network,quantum path integral algorithm and damping particle swarm optimization inversion method are reviewed mainly based on the work achieved in the authors group.The magnetotelluric inversion method is classified into qualitative approximate inversion method,the linear or nonlinear iterative inversion method based on the objective function and the global optimization inversion method by summarizing and compared and reviewed various magnetotelluric inversion methods from the objective function construction,the sensitivity matrix calculation and the convergence speed,also pointed out the problems.The developing prospects of the magnetotelluric inversion method are also forecasted.In the future,the research would be focused on heterogeneous geoelectric structures electromagnetic field response with landform effect,the practical of nonlinear three-dimensional global optimization inversion and hybrid inversion method,detailed inversion method and how the parameter settings affect the inversion results and joint inversion of other geophysical data,or constrained inversion.
【Fund】: 国家科技专项“深部矿产资源立体探测技术与实验(SinoProbe一03)”;; 国家自然科学基金重点项目(40930418);; 中国地质科学院矿产资源研究所基本科研业务费专项资金项目(K0929)联合资助
【CateGory Index】: P631.325
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